MinIO recommends using Linux operating system for production workloads.

EOF
```

Upload this object to the bucket via `mc cp`
```
mc cp testobject myminio/functionbucket/
```

## Invoke Lambda transformation via PresignedGET

Example: Limit a MinIO cluster to accept at max 1600 simultaneous S3 API requests across all nodes of the cluster.

```sh

ENV MINIO_ACCESS_KEY_FILE=access_key \
    MINIO_SECRET_KEY_FILE=secret_key \
    MINIO_ROOT_USER_FILE=access_key \
    MINIO_ROOT_PASSWORD_FILE=secret_key \
    MINIO_KMS_SECRET_KEY_FILE=kms_master_key \

ENV MINIO_ACCESS_KEY_FILE=access_key \
    MINIO_SECRET_KEY_FILE=secret_key \
    MINIO_ROOT_USER_FILE=access_key \
    MINIO_ROOT_PASSWORD_FILE=secret_key \
    MINIO_KMS_SECRET_KEY_FILE=kms_master_key \

ENV MINIO_ACCESS_KEY_FILE=access_key \
    MINIO_SECRET_KEY_FILE=secret_key \
    MINIO_ROOT_USER_FILE=access_key \
    MINIO_ROOT_PASSWORD_FILE=secret_key \
    MINIO_KMS_SECRET_KEY_FILE=kms_master_key \

mapreduce.task.sort.spill.percent=0.9 # Minimum % before spilling to disk
```

	app.Author = "MinIO, Inc."
	app.Version = ReleaseTag
	app.Usage = "High Performance Object Storage"
	app.Description = `Build high performance data infrastructure for machine learning, analytics and application data workloads with MinIO`
	app.Flags = GlobalFlags
	app.HideHelpCommand = true // Hide `help, h` command, we already have `minio --help`.
	app.Commands = commands
	app.CustomAppHelpTemplate = minioHelpTemplate

replicated buckets, use this feature to optimize versioning behavior for some specific applications. MinIO experts will evaluate and guide on the benefits for your application, please reach out to us on <https://subnet.min.io>.**

Spark/Hadoop workloads which use Hadoop MR Committer v1/v2 algorithm upload objects to a temporary prefix in a bucket. These objects are 'renamed' to a different prefix on Job commit. Object storage admins are forced to configure separate ILM policies to expire these objects...

🔹 S3 API Compatible – Seamless integration with existing S3 tools
🔹 Built for AI & Analytics – Optimized for large-scale data pipelines
🔹 High Performance – Ideal for demanding storage workloads.

AI storage documentation  (https://min.io/solutions/object-storage-for-ai).